FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.
At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.
Associate Product Data Manager - Private Markets Content
We’re looking for a Product Data Manager / Owner to join our team of software and AI/ML engineers as we build out a future-ready company data foundation.
Our team lives within the Content Refinery unit which provides the most comprehensive and connected inventory of client, proprietary and third-party content in the industry. The Content Refinery produces a suite of connected content with extensive data hierarchy and taxonomy. Our team represents the company data master which is leveraged by our internal partners to build next-generation workflows for our clients.
You’ll be joining the Entity Intelligence Team which is responsible for defining, collecting, and building modern systems to curate data via agent-led processes, 3rd-party data and other internal FactSet teams. This data powers the products that all FactSet clients use to analyze their investments in Private Companies (e.g., sourcing, due diligence, and fundraising).
Role Description:As the Product Data Manager, you will convert business strategy and client needs into the vision that powers our data and a product roadmap and work closely with our AI/ML Engineering teams, Claude (and other AI tooling) and legacy systems to execute on that roadmap.
You will work with internal stakeholders to understand the content expansions that will create the most impact for our clients and then translate them into the overall vision. You will then help break down the vision into a roadmap of themes, epics, stories, bugs, and acceptance criteria. That overall vision will guide our AI/ML team in building the models and pipelines that identify and structure this content to make the most impact for clients.
Responsibilities:Defining your Work:- Translate stakeholder needs into a backlog of work to be refined into user stories that state the functional expectations and reasoning for how it impacts our clients.
- Provide thought leadership by understanding how our internal and external clients plan to use our content and anticipate the future content they will need.
- Continually focus on and rank what is most important to deliver next. (e.g., prioritize Jira stories that are most important to deliver next according to their business value, dependencies, overall strategy, and team availability)
- Make visible all the work that needs to be completed by your team to deliver major features and deliverables from the backlog.
- Define and report metrics to provide transparency for progress against the product roadmap.
- Surface or anticipate hidden project risks and develop contingency plans to mitigate those risks.
- Synchronize with other product owners and internal team leads to identify obstacles and dependencies, working to remove them through negotiation and escalation.
- Communicate with Stakeholders, other Product Owners, and Engineering teams to ensure the vision and goals for Private Markets Content is understood. Ensure buy-in is achieved on all major decisions.
- 5+ years of data product management experience on a data team or similar role managing content data sets.
- Team player attitude with a strong desire to learn about Private Markets, modern data tooling and matrix organization structures.
- A keen interest to learn from and work with engineers to apply AI/ML to real world data.
- A solid understanding of financial valuation
- Understand and derive Market valuations: e.g., identify peer groups, market multiples, industry betas, capital structures, and business models for various groups of industries.
- Use or derive financial models, vendor data (FactSet, etc) and/ormarket research to assess viability and growth potential of private companies
- General knowledge of data environments (warehouses, lakes, pipelines, mapping, ETLs...).
- Analytical skills and data driven mindset that can be hands-on when needed with data analysis (Excel, PowerQuery, PowerBI, SQL)
- Experience in Agile software development, working directly with software and data science engineers
- Financial analysis and financial modeling skills: adept at reviewing and parsing financial statements e.g. income statement, balance sheet, and statement of cash flows
- Experience with structured transactions, banking, consulting, analytical experience in a specific industry.
- Experience in due diligence, have a view on a company. Invest/Not Invest, identifying potential acquisition targets for large corporations
- Comfortable with ambiguity and dynamic environments while understanding process and constraints of a large organization.
- Ability to make decisions quickly and remove ambiguity for the team to help them move faster.
Company Overview:
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Skills Required
- 5+ years of data product management experience managing content datasets
- Ability to translate stakeholder needs into product vision, roadmaps, epics, stories, and acceptance criteria
- Solid understanding of financial valuation and ability to derive market valuations and use financial models
- Hands-on analytical skills with Excel, PowerQuery, PowerBI, and SQL
- General knowledge of data environments: warehouses, lakes, pipelines, mapping, and ETLs
- Team player mindset and willingness to learn Private Markets and modern data tooling
- Interest in working with engineers to apply AI/ML to real-world data
- Experience in Agile software development working with software and data science engineers
- Financial analysis and financial modeling skills, including parsing financial statements
- Experience with structured transactions, banking, consulting, or industry-specific analytical experience
- Experience in due diligence or investment decision analysis
- Comfortable with ambiguity and ability to make decisions quickly to remove team uncertainty
Factset Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Factset and has not been reviewed or approved by Factset.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental/vision in some descriptions, and life and disability insurance. Company-wide wellness days and region-specific add-ons (e.g., Vitality PMI, Bupa dental, Health Shield cashback) further reinforce a strong health-and-wellbeing offering.
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Retirement Support — Retirement savings support is consistently included as part of the core package through retirement savings plans. The presence of these programs is framed as a meaningful component of total rewards beyond base salary.
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Equity Value & Accessibility — An employee stock purchase program is highlighted as a standard part of the total rewards package. This provides a pathway to share ownership alongside cash compensation.
Factset Insights
What We Do
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.
